Expleo Group | Embedded Systems Engineer

Expleo Group
Uttoxeter
1 year ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Are you currently looking for a new career opportunity within Embedded Systems? If so, Expleo have the opportunity for you!

Expleo are recruiting on behalf of our prestige automotive focused client based in Staffordshire for an Embedded Systems Engineer. This contract position, available inside or outside IR35, will initially be offered for a duration of 6 months.

Responsibilities of the Embedded Systems Engineer will include:
* Translate customer requirements into clear deliverables.
* Develop Simulink model-based applications.
* Select hardware platforms with consideration for environment and cost.
* Ensure ECU communication protocols (SAE J1939, Ethernet) are robust.
* Adhere to industry standard development techniques like the V Model.
* Support risk assessments and various analysis methods (FMEA, 8D, Ishikawa).

Background, skills and experience required for the Embedded Systems Engineer role:
* Experience in Tier 1 or OE sectors (both on-highway and off-highway) within system engineering or software development.
* Qualified to HND/Degree level in an electronics/software-based technology discipline or possess equivalent experience.
* Familiarity with requirements capturing tools (IBM DOORS).
* Knowledge of CAN bus protocols (CANOpen, J1939, ISO14229, ISO14230).
* Working knowledge of software development techniques (V Model, functional safety).
* Experience with V&V techniques (White, Grey, Black box testing).
* Proficiency in C programming and Matlab/Simulink development.
* Foundational knowledge of electronics and software development.
* Awareness of functional safety and security impacts.
* Experience in validation and verification activities.

Expleo is a trusted partner for end-to-end, integrated engineering, quality services and management consulting for digital transformation. We help businesses harness unrelenting technological change to successfully deliver innovations that will help them gain a competitive advantage and improve the everyday lives of people around the globe.

To meet with current legislation, right to work checks will be carried out to ensure candidates are able to work within the UK, unfortunately we are unable to provide sponsorship for this role.

Any application will be treated in a highly confidentiality manner and all conversations will be respected. For more information on the Embedded Systems Engineer role, please apply now!


JBRP1_UKTJ

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.